Get Your Dream Data Job - A Complete Practical Guide
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.14 GB | Duration: 3h 46m
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.14 GB | Duration: 3h 46m
Data Analyst Scientist, SQL, Python, Power BI, Tableau, ML, AI, LinkedIn, ATS Resume, Interview, Job, NPL, Deep Learning
What you'll learn
Create a Winning Resume: Design an ATS-friendly resume tailored for data-related roles. Highlight your skills and achievements effectively.
Build a Professional Online Presence: Create a standout LinkedIn profile to attract recruiters. Showcase your coding and project work with a GitHub repository.
Optimize Your Job Search: Learn how to identify the best job opportunities. Master the art of applying strategically to maximize success.
Prepare for Data Job Interviews: Tackle technical interview questions confidently. Sharpen your communication and problem-solving skills interview
Use Exclusive Templates and Resources: Access resume, LinkedIn, GitHub, and portfolio templates to streamline your career preparation.
Requirements
No Prior Experience Needed
Basic Computer Skills
A Desire to Learn
Time and Commitment
Description
Welcome to 'Get Your Dream Data Job - A Complete Practical Guide'!This course is your ultimate roadmap to kickstarting or advancing your career in the exciting field of data. Whether you’re aspiring to become a Data Analyst, Data Scientist, or Business Analyst, or simply looking to enhance your job-hunting strategies, this course has got you covered!What You’ll Learn:Essential Skills for Data Jobs: Master technical skills like Python, SQL, Excel, and Power BI, alongside project building, certifications, and domain knowledge.Resume Building: Craft a winning, ATS-friendly resume tailored for data roles.LinkedIn, GitHub & Portfolio: Build a professional LinkedIn profile, showcase your projects on GitHub, and create a stunning portfolio website to impress recruiters.Job Search Strategies: Learn smart techniques for finding and applying to data jobs effectively.Interview Preparation: Ace technical and behavioral interviews with proven tips and guidance.Why This Course?This is more than just a course—it’s a complete career development package designed specifically for data professionals. You’ll gain access to exclusive templates, documents, and resources that simplify and accelerate your journey to success.Who Is This Course For?Aspiring Data Professionals: New graduates or career changers entering the data industry.Experienced Professionals: Those looking to transition to a data-focused role or level up their career.Job Seekers: Anyone preparing for interviews and job applications in the data domain.Join thousands of learners on this career-transforming journey. Start today and get closer to your dream data job!Let’s make your dream career a reality!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Course Structure
Lecture 3 Course Material Overview
Lecture 4 It's A Milestone
Section 2: Getting Started
Lecture 5 Section Agenda & Goals
Lecture 6 Data Jobs: Market trends & Opportunities
Lecture 7 Identifying Key Challenges
Lecture 8 Solution Roadmap
Section 3: Building Skills for Data Career
Lecture 9 Section Agenda & Goals
Lecture 10 Technical Skills
Lecture 11 Projects
Lecture 12 Certifications
Lecture 13 Domain Knowledge
Lecture 14 Soft Skills
Lecture 15 Prioritizing Skills
Lecture 16 Data Skill Documents
Section 4: Resume Building
Lecture 17 Section Agenda & Goals
Lecture 18 Job Selection Funnel
Lecture 19 Getting Started with Resume Building
Lecture 20 Name, Title & Contact
Lecture 21 Summary
Lecture 22 Skills
Lecture 23 Work Experience
Lecture 24 Projects
Lecture 25 Education & Other Accomplishments
Lecture 26 Order of the Sections
Lecture 27 Build Resume Using AI Tools
Lecture 28 Resume Review
Lecture 29 Resume Help Documents
Lecture 30 AI Tools and Websites
Section 5: Working on Digital Profile
Lecture 31 Section Agenda & Goals
Lecture 32 Getting Started with Linked-In
Lecture 33 Linked-In Elements Overview
Lecture 34 Working on Linked-In Profile_Part 1
Lecture 35 Working on Linked-In Profile_Part 2
Lecture 36 Working on Linked-In Profile_Part 3
Lecture 37 Github Repositories
Lecture 38 Portfolio Website
Lecture 39 Digit Profile Documents
Section 6: Applying for the Job & Working with Recruiters
Lecture 40 Section Agenda & Goals
Lecture 41 Job Searching Landscape
Lecture 42 Applying for Job & More About ATS
Lecture 43 Some Tips & Tricks
Lecture 44 Job Application Docs
Section 7: Ace your Data Interview
Lecture 45 Section Agenda & Goals
Lecture 46 Getting Started with Interview Basics
Lecture 47 General Interview Process
Lecture 48 Pre-Interview Activities
Lecture 49 At Interview
Lecture 50 Tips & Tricks
Lecture 51 What Next ?
Lecture 52 Data Interview Documents
Aspiring Data Professionals: Students and recent graduates aiming to become Data Analysts, Data Scientists, Business Analysts, or other data-related roles. Career changers transitioning into the data industry.,Experienced Professionals: Individuals in non-technical roles looking to switch to data-focused positions. Professionals in data roles seeking to refine their skills and accelerate their career growth.,Job Seekers: Those actively preparing for job applications and interviews in data-related fields. Anyone looking to improve their resume, LinkedIn profile, GitHub repository, or portfolio website.